Adaptive control program updates for surgical hubs
Various analytics systems are disclosed. An analytics system is configured to communicably couple to a plurality of surgical hubs that are controlled by control programs. The analytics system comprises a processor and a memory coupled to the processor. The memory stores instructions that, when executed by the processor, cause the analytics system to: receive perioperative data indicative of an operational behavior of the surgical hubs; analyze the perioperative data to determine whether an update condition is satisfied; generate a control program update according to whether the update condition is satisfied; and transmit the control program update to the surgical hubs. The perioperative data comprises data detected by the surgical hubs during a surgical procedure. The control program update is configured to alter the manner in which the control programs operate the surgical hubs during a surgical procedure based on the operational behavior.
1. A surgical system configured for use during a surgical procedure performed on a patient in a medical facility, the surgical system comprising:
a surgical hub configured to be communicably coupled to a surgical instrument, wherein the surgical hub is further configured to transmit a signal associated with the surgical procedure;
a medical database configured to store data associated with surgical procedures of varying types performed across a medical network; and
a cloud-based analytics subsystem configured to be communicably coupled to the surgical hub and the medical database, wherein the cloud-based analytics subsystem comprises a control circuit and a memory configured to store a hub application, wherein, when executed by the control circuit, the hub application causes the control circuit to:
receive the transmitted signal from the surgical hub;
determine a type of surgical procedure being performed on the patient based, at least in part, on the transmitted signal;
retrieve data associated with the determined type of surgical procedure from the medical database; and
generate an analytic solution for the surgical procedure performed on the patient based, at least in part, on the retrieved data;
wherein the retrieved data is generated by a plurality of surgical hubs across the medical network that were previously used to perform surgical procedures of the determined type, and wherein the control circuit is further configured to aggregate the retrieved data;
wherein the control circuit is further configured to determine a trend associated with the determined type of surgical procedure based, at least in part, on the aggregated data; and
wherein the determined trend comprises an average error rate for the determined type of surgical procedure, and wherein the generated analytic solution comprises a recommendation to update the surgical instrument based, at least in part, on the average error rate.
2. The surgical system of claim 1 , wherein the determined trend comprises a trending equipment configuration for the determined type of surgical procedure, and wherein the generated analytic solution comprises a recommendation to implement the trending equipment configuration.
3. The surgical system of claim 1 , wherein the determined trend comprises a resource usage recommendation for the determined type of surgical procedure, and wherein the generated analytic solution comprises the resource usage recommendation.
4. The surgical system of claim 3 , wherein the control circuit is further configured to determine an optimal order point for the surgical instrument based, at least in part, on the resource usage recommendation.
5. The surgical system of claim 1 , wherein the data comprises a black list comprising at least one of a subset of the plurality of surgical hubs, an incompatible surgical instrument, and a type of surgical instrument, or combinations thereof, wherein the control circuit is further configured to determine that the surgical instrument is on the black list based, at least in part, on the transmitted signal, and wherein the generated analytic solution comprises an indication that the surgical instrument is on the black list.
6. The surgical system of claim 1 , wherein the medical facility comprises a sterile field and wherein the surgical hub is configured for external placement relative to the sterile field.
7. The surgical system of claim 6 , further comprising a display configured to be communicably coupled to the control circuit, wherein the display is configured to display the generated analytic solution via a graphical user interface.
8. The surgical system of claim 7 , wherein the display comprises a tablet.
9. A cloud-based analytics system configured for use during a surgical procedure performed on a patient in a medical facility, the cloud-based analytics system comprising:
a control circuit; and
a memory configured to store a hub application, wherein, when executed by the control circuit, the hub application causes the control circuit to:
receive a signal transmitted by a surgical hub of a plurality of surgical hubs across a medical network;
determine a type of surgical procedure being performed on the patient based, at least in part, on the transmitted signal;
retrieve data associated with the determined type of surgical procedure from a plurality of data associated with surgical procedures of varying types, wherein the plurality of data is stored in a medical database;
determine an error rate of a surgical instrument communicatively coupled to the surgical hub for the type of surgical procedure based, at least in part, on the retrieved data; and
generate an analytic solution for the surgical procedure performed on the patient based, at least in part, on the retrieved data, wherein the analytic solution comprises a recommendation to update a surgical instrument for the determined type of surgical procedure based, at least in part, on the error rate.
10. The cloud-based analytics system of claim 9 , wherein the retrieved data is generated by the plurality of surgical hubs across the medical network, wherein the plurality of surgical hubs were previously used to perform surgical procedures of the determined type, and wherein the control circuit is further configured to aggregate the retrieved data.
11. The cloud-based analytics system of claim 10 , wherein the control circuit is further configured to determine a trend associated with the determined type of surgical procedure based, at least in part, on the aggregated data.
12. The cloud-based analytics system of claim 11 , wherein the determined trend comprises a trending equipment configuration for the determined type of surgical procedure, and wherein the generated analytic solution comprises a recommendation to implement the trending equipment configuration.
13. The cloud-based analytics system of claim 11 , wherein the determined trend comprises a resource usage recommendation for the determined type of surgical procedure, and wherein the generated analytic solution comprises the resource usage recommendation.
14. The cloud-based analytics system of claim 9 , further comprising a display configured to be communicably coupled to the control circuit, wherein the display is configured to display the generated analytic solution via a graphical user interface.
15. The cloud-based analytics system of claim 14 , wherein the display comprises a tablet.
16. A method of providing an analytic solution for a surgical procedure performed on a patient in a medical facility, the method comprising:
receiving a signal transmitted by a surgical hub of a plurality of surgical hubs across a medical network;
determining a type of surgical procedure being performed on the patient based, at least in part, on the transmitted signal;
retrieving data associated with the determined type of surgical procedure from a plurality of data associated with surgical procedures of varying types, wherein the plurality of data is stored in a medical database;
generating an analytic solution for the surgical procedure performed on the patient based, at least in part, on the retrieved data, wherein the analytic solution comprises a recommendation to update a surgical instrument communicatively coupled to the surgical hub for the determined type of surgical procedure based, at least in part, on an error rate of the surgical instrument for the type of surgical procedure; and
transmitting the analytic solution to a display configured to display the analytic solution via a graphical user interface.
17. The method of claim 16 , wherein the retrieved data is generated by the plurality of surgical hubs across the medical network, wherein the plurality of surgical hubs were previously used to perform surgical procedures of the determined type, and wherein the method further comprises:
aggregating the retrieved data associated with the determined type of surgical procedure; and
determining a trend associated with the determined type of surgical procedure based, at least in part, on the aggregated data.